Isso, somado ao simples fato que Python é a principal linguagem para **Data Science**, Aprendizado de Máquina e especialmente Deep Learning, faz do FastAPI uma ótima escolha para APIs web e aplicações com Data Science / Aprendizado de Máquina (entre muitas outras).

          assertThat(prob).isWithin(epsilon).of(0.50d);
        }
      }
    }
  }

  /**
   * Checks that a Hasher returns the same HashCode when given the same input, and also that the
   * collision rate looks sane.
   */
  static void assertInvariants(HashFunction hashFunction) {
    int objects = 100;
    Set<HashCode> hashcodes = Sets.newHashSetWithExpectedSize(objects);
    Random random = new Random(314159);

          assertThat(prob).isWithin(epsilon).of(0.50d);
        }
      }
    }
  }

  /**
   * Checks that a Hasher returns the same HashCode when given the same input, and also that the
   * collision rate looks sane.
   */
  static void assertInvariants(HashFunction hashFunction) {
    int objects = 100;
    Set<HashCode> hashcodes = Sets.newHashSetWithExpectedSize(objects);
    Random random = new Random(314159);

# Aplicações Maiores - Múltiplos Arquivos { #bigger-applications-multiple-files }

Se você está construindo uma aplicação ou uma API web, é raro que você possa colocar tudo em um único arquivo.

**FastAPI** oferece uma ferramenta conveniente para estruturar sua aplicação, mantendo toda a flexibilidade.

/// info | Informação

Se você vem do Flask, isso seria o equivalente aos Blueprints do Flask.

///

On AWS kubelet returns an error when started under conditions that do not allow it to work (AWS has not yet tagged the instance), rather than failing silently. ([#60125](https://github.com/kubernetes/kubernetes/pull/60125), [@vainu-arto](https://github.com/vainu-arto))

* AWS Security Groups created for ELBs will now be tagged with the same additional tags as the ELB; that is, the tags specified by the "service.beta.kubernetes.io/aws-load-balancer-additional-resource-tags" annotation....

    Closer closer = Closer.create();
    try {
      InputStream in = closer.register(openStream());
      return countBySkipping(in);
    } catch (IOException e) {
      // skip may not be supported... at any rate, try reading
    } finally {
      closer.close();
    }

    closer = Closer.create();
    try {
      InputStream in = closer.register(openStream());
      return ByteStreams.exhaust(in);

   *
   * <p>See http://en.wikipedia.org/wiki/Bloom_filter#Probability_of_false_positives for the
   * formula.
   *
   * @param n expected insertions (must be positive)
   * @param p false positive rate (must be 0 < p < 1)
   */
  @VisibleForTesting
  static long optimalNumOfBits(long n, double p) {
    if (p == 0) {
      p = Double.MIN_VALUE;
    }
    return (long) (-n * Math.log(p) / SQUARED_LOG_TWO);

- Improved the error message shown when a Pod using user namespaces was created on a runtime that did not support user namespaces. ([#131623](https://github.com/kubernetes/kubernetes/pull/131623), [@rata](https://github.com/rata))

 * x}, but the reverse does not necessarily hold.
 *
 * <table>
 * <caption>Encodings</caption>
 * <tr>
 * <th>Encoding
 * <th>Alphabet
 * <th>{@code char:byte} ratio
 * <th>Default padding
 * <th>Comments
 * <tr>
 * <td>{@link #base16()}
 * <td>0-9 A-F
 * <td>2.00
 * <td>N/A
 * <td>Traditional hexadecimal. Defaults to upper case.
 * <tr>
 * <td>{@link #base32()}

# Minimum width for HTML images in thumbnails.
thumbnail.html.image.min.width=100
# Minimum height for HTML images in thumbnails.
thumbnail.html.image.min.height=100
# Maximum aspect ratio for HTML images in thumbnails.
thumbnail.html.image.max.aspect.ratio=3.0
# Width of generated thumbnail images.
thumbnail.html.image.thumbnail.width=100
# Height of generated thumbnail images.
thumbnail.html.image.thumbnail.height=100